Hi @BartP, I am having the same issue with the same dataset. I am also using my own computer, which is an i7 16gb of ram, and a gtx 1080ti with 11gb of ram. I tried only changing the size to 224 instead of the 256 and I still run into the kernel died problem. I was thinking about going out and getting another 16gb of ram just so I know I’m able to get the best results.
I also ran into this same problem in the dogs vs cats supercharged notebook with the image size at 299. For that one I just changed it to 224 and it ran perfectly.
If you don’t mind me asking, what are the specs of your computer?
Thanks,
Bill
edit:
I did double my ram for a total of 32gb and have been able to successfully run through the planet notebook with the default batchsize and image sizes. Also note that my accuracy increased 2% with the slightly larger images.
Also, the dogcats supercharged notebook which uses resnet model used to give me the same kernel shutdown error with the image sizes being 299. After doubling my ram I was also able to successfully run through that with the default 299 image sizes.